Question 1

If an IQ distribution is normal and has a mean of 100 and a standard deviation of 15, then 68% of all those taking the test scored between IQ's of

Accepted Answer

A)  100 and 115 
B)  85 and 100 
C)  92.5 and 107.5 
D)  85 and 115 
A)  100 and 115 
B)  85 and 100 
C)  92.5 and 107.5 
D)  85 and 115

Question 2

Every distribution of z scores has a

Accepted Answer

A)  mean of zero and a standard deviation of 1 
B)  mean of 50 and a standard deviation of 10 
C)  mean of 100 and a standard deviation of 15 
D)  none of these, since every distribution of z scores is different 
A)  mean of zero and a standard deviation of 1 
B)  mean of 50 and a standard deviation of 10 
C)  mean of 100 and a standard deviation of 15 
D)  none of these, since every distribution of z scores is different

Question 3

The 50th percentile would yield a raw score of

Accepted Answer

A)  400 
B)  450 
C)  500 
D)  568 
A)  400 
B)  450 
C)  500 
D)  568

Question 4

The difference between z scores and standard scores is that

Accepted Answer

A)  z scores can never be negative, whereas standard deviation scores always are 
B)  z scores can only be calculated with reference to the mean, whereas standard scores relate to the median 
C)  z scores can only be calculated with reference to the standard deviation, whereas standard scores relate to the variance 
D)  none of these, since z scores are standard scores 
A)  z scores can never be negative, whereas standard deviation scores always are 
B)  z scores can only be calculated with reference to the mean, whereas standard scores relate to the median 
C)  z scores can only be calculated with reference to the standard deviation, whereas standard scores relate to the variance 
D)  none of these, since z scores are standard scores

Question 5

A positive z score may only occur when the mean of the raw score distribution is greater than 50.

Accepted Answer

A) True 
 B)False

Question 6

A z score of +3 corresponds with a

Accepted Answer

A)  percentile of 3 
B)  percentile of 53 
C)  percentile of 103 
D)  raw score which is 3 standard deviation units above the mean 
A)  percentile of 3 
B)  percentile of 53 
C)  percentile of 103 
D)  raw score which is 3 standard deviation units above the mean

Question 7

On any normal distribution the 50th percentile corresponds with a z score of

Accepted Answer

A)  0 
B)  50 
C)  68 
D)  + 1 
A)  0 
B)  50 
C)  68 
D)  + 1

Question 8

When the normal curve is plotted according to standard deviation units, each having a value of 1.00, it is called

Accepted Answer

A)  platykurtic 
B)  leptokurtic 
C)  the standard normal curve 
D)  the deviation curve 
A)  platykurtic 
B)  leptokurtic 
C)  the standard normal curve 
D)  the deviation curve

Question 9

On a normal distribution with a mean of 100 and a standard deviation of 17, what percentage of cases will fall between 84 and 93?

Accepted Answer

The answer of On a normal distribution with a mean...

Question 10

On a normal distribution with a mean of 160 and a standard deviation of 16.28, what percentage of cases will fall between 145 and 166?

Accepted Answer

The answer of On a normal distribution with a mean...

Question 11

Over 50% of all the scores would fall above a raw score of

Accepted Answer

A)  568 
B)  534 
C)  501 
D)  499 
A)  568 
B)  534 
C)  501 
D)  499

Question 12

A normal curve always has

Accepted Answer

A)  a greater frequency of scores around the center than in the tails 
B)  a greater frequency of scores in the tails than around the center 
C)  a greater frequency of scores above the mean than below the mean 
D)  a greater frequency of scores below the mean than above the mean 
A)  a greater frequency of scores around the center than in the tails 
B)  a greater frequency of scores in the tails than around the center 
C)  a greater frequency of scores above the mean than below the mean 
D)  a greater frequency of scores below the mean than above the mean

Question 13

The only time a z score can be negative is when

Accepted Answer

A)  the raw score is higher than the mean 
B)  the raw score is lower than the mean 
C)  the standard deviation is negative 
D)  the standard deviation is equal to 0 
A)  the raw score is higher than the mean 
B)  the raw score is lower than the mean 
C)  the standard deviation is negative 
D)  the standard deviation is equal to 0

Question 14

On a normal distribution with a mean of 150 and a standard deviation of 15, what percentage of cases will fall at 140 or higher?

Accepted Answer

The answer of On a normal distribution with a mean...

Question 15

Find the percentiles for the following: the mean score on a test of psychopathy among a group of incarcerated inmates is 50, with a standard deviation of 10. Assume a normal distribution, and find the Percentile for the following psychopathy scores:
-60

Accepted Answer

84.14 or 8

Question 16

The normal curve is mesokurtic.

Accepted Answer

A) True 
 B)False

Question 17

Percentage of scores falling between a z of .56 and the mean

Accepted Answer

The answer of Percentage of scores falling between a z...

Question 18

The 50th percentile would yield a z score of

Accepted Answer

A)  -1 
B)  +500 
C)  above +1 
D)  0 
A)  -1 
B)  +500 
C)  above +1 
D)  0

Question 19

When a z score falls to the left of the mean

Accepted Answer

A)  it must always be given a minus sign 
B)  it must always be greater than 1 
C)  it must always be less than 1 
D)  none of these, since z scores never fall to the left of the mean 
A)  it must always be given a minus sign 
B)  it must always be greater than 1 
C)  it must always be less than 1 
D)  none of these, since z scores never fall to the left of the mean

Question 20

The fact that the normal distribution is asymptotic to the abscissa means that

Accepted Answer

A)  its curve must be symmetrical 
B)  its curve must yield both positive and negative values 
C)  its curve may never touch the abscissa 
D)  its curve must always touch the abscissa 
A)  its curve must be symmetrical 
B)  its curve must yield both positive and negative values 
C)  its curve may never touch the abscissa 
D)  its curve must always touch the abscissa

If an IQ distribution is normal and has a mean of 100 and a standard deviation of 15, then 68% of all those taking the test scored between IQ's of

Every distribution of z scores has a

The 50th percentile would yield a raw score of

The difference between z scores and standard scores is that

A positive z score may only occur when the mean of the raw score distribution is greater than 50.

A z score of +3 corresponds with a

On any normal distribution the 50th percentile corresponds with a z score of

When the normal curve is plotted according to standard deviation units, each having a value of 1.00, it is called

On a normal distribution with a mean of 100 and a standard deviation of 17, what percentage of cases will fall between 84 and 93?

On a normal distribution with a mean of 160 and a standard deviation of 16.28, what percentage of cases will fall between 145 and 166?

Over 50% of all the scores would fall above a raw score of

A normal curve always has

The only time a z score can be negative is when

On a normal distribution with a mean of 150 and a standard deviation of 15, what percentage of cases will fall at 140 or higher?

Find the percentiles for the following: the mean score on a test of psychopathy among a group of incarcerated inmates is 50, with a standard deviation of 10. Assume a normal distribution, and find the Percentile for the following psychopathy scores: -60

The normal curve is mesokurtic.

Percentage of scores falling between a z of .56 and the mean

The 50th percentile would yield a z score of

When a z score falls to the left of the mean

The fact that the normal distribution is asymptotic to the abscissa means that

Introduction to Statistics

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

Z Scores, T Scores and Other Normal Curve Transformations

Probability

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

The Hypothesis of Association: Correlation

Analysis of Variance

Nominal Categorical Data and the Chi Square

Regression Analysis

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters

Exam 4: The Normal Curve and Z Score

If an IQ distribution is normal and has a mean of 100 and a standard deviation of 15, then 68% of all those taking the test scored between IQ's of

Every distribution of z scores has a

The 50th percentile would yield a raw score of

The difference between z scores and standard scores is that

A positive z score may only occur when the mean of the raw score distribution is greater than 50.

A z score of +3 corresponds with a

On any normal distribution the 50th percentile corresponds with a z score of

When the normal curve is plotted according to standard deviation units, each having a value of 1.00, it is called

On a normal distribution with a mean of 100 and a standard deviation of 17, what percentage of cases will fall between 84 and 93?

On a normal distribution with a mean of 160 and a standard deviation of 16.28, what percentage of cases will fall between 145 and 166?

Over 50% of all the scores would fall above a raw score of

A normal curve always has

The only time a z score can be negative is when

On a normal distribution with a mean of 150 and a standard deviation of 15, what percentage of cases will fall at 140 or higher?

Find the percentiles for the following: the mean score on a test of psychopathy among a group of incarcerated inmates is 50, with a standard deviation of 10. Assume a normal distribution, and find the Percentile for the following psychopathy scores: -60

The normal curve is mesokurtic.

Percentage of scores falling between a z of .56 and the mean

The 50th percentile would yield a z score of

When a z score falls to the left of the mean

The fact that the normal distribution is asymptotic to the abscissa means that

Introduction to Statistics

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

Z Scores, T Scores and Other Normal Curve Transformations

Probability

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

The Hypothesis of Association: Correlation

Analysis of Variance

Nominal Categorical Data and the Chi Square

Regression Analysis

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters